Databricks Delta Sharing
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S&P Global and Databricks form a dynamic collaboration, driving a transformative journey to tackle data challenges with Databricks Delta Sharing. As the Lakehouse company, Databricks offers a unified platform that empowers your teams to unlock valuable insights, construct and refine machine learning models, and seamlessly deploy them into production.
Through Databricks Delta Sharing, you can directly access S&P Global datasets eliminating the data ingestion process and significantly improving your productivity and efficiency. Delta Sharing enables you to leverage external data with your own, helping you make faster, smarter business decisions.
Service Provider Information
Databricks Delta Sharing is an open protocol for secure data sharing with other organizations, regardless of the computing platforms they use. Databricks builds Delta Sharing into its Unity Catalog data governance platform, enabling a Databricks user to share data with a person or group outside of their organization.
Key Information
Use Cases
- One platform for integration, storage, processing, governance, sharing, analytics, and AI.
- Databricks provides an open solution to securely share S&P Global data from your lakehouse to any computing platform without replication and complicated ETL.
- Businesses can provide real-time access to data for clients or partners, ensuring that they are always working with the most up-to-date information.
- Provides automatic optimization for performance and storage, together with world-record-setting performance for both data warehousing and AI use cases.
- Delta Sharing allows organizations to share data stored in their data lakes seamlessly, facilitating analytics and reporting across multiple platforms.
Benefits
With S&P Global data via Databricks Delta Sharing you can get:
- Accelerated Insights: Get data faster, speeding up analytics and enabling faster decision-making
- Unified Solutions: Experience a single platform integrating various data engineering, science, and machine learning tools to meet all your data needs
- Enhanced Efficiency: Focus on data analysis while Databricks manages operational complexities with fully managed infrastructure
- Simplified Big Data Analytics: Process large amounts of information in batches and micro-batches for efficient and near-real-time computation